Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...
A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...
Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision ...
Chinese search giant Baidu has introduced a new addition to its ERNIE 4.5 series of large-scale language models: ERNIE-4.5-21B-A3B-Thinking and while its benchmark performance remains below that of ...
NVIDIA introduces NVFP4, a 4-bit precision format, enhancing AI training speed and efficiency while maintaining accuracy, marking a leap in large language model development. NVIDIA is making strides ...
A novel near-sensor edge computing system integrates aluminum nitride (AlN) microrings for photonic feature extraction and Si Mach–Zehnder interferometers for photonic neural network operations, ...
Abstract: Compute-in-memory (CIM) accelerators have emerged as a promising way for enhancing the energy efficiency of convolutional neural networks (CNNs). Deploying CNNs on CIM platforms generally ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
I noticed that in the sft_video.py file, there is a commented-out 4-bit quantization configuration. Could you please tell me if you have trained the model using 4-bit quantization? Will there be any ...
In this Ultra-Light Mistral Devstral tutorial, a Colab-friendly guide is provided that is designed specifically for users facing disk space constraints. Running large language models like Mistral can ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback